I just deployed my first streamlit webapp, but for some reason it is giving that error, after a couple of seconds post reboot. There isn’t any error trace for me to look at, so any help would be really appreciated. Thanks in advance!
GitHub Repo: samya-ravenXI/Movie-Recommendation-System
Streamlit Webapp: Streamlit
1 Like
It’s loading for me – are you still seeing this issue?
I saw an error stack just now “ValueError: numpy.ndarray size changed, may indicate binary incompatibility” for which stackoverflow recommended to use a latest version of numpy, so I removed the version specificity from numpy and pandas from the requirements.txt file. Hoping that it fixes it now.
Edit- That didn’t help T~T
Just to check: did you reboot after changing the environment configuration? I recommend always rebooting after any configuration change.
If a reboot doesn’t change the result, can you share the complete error message with a trace?
So, I’m not exactly getting an error. The app works with the first click and then shows a transparent no emoji over the widgets before showing the “Oh no. Error running app.” error.
But here is the entire log after recreating another app and starting a fresh boot.
Logs
[ UTC ] Logs for samya-ravenxi-movie-recommendation-system-home-itrcvs.streamlit.app/
────────────────────────────────────────────────────────────────────────────────────────
[23:49:11] 🖥 Provisioning machine...
[23:49:16] 🎛 Preparing system...
[23:50:00] ⛓ Spinning up manager process...
[23:49:20] 🚀 Starting up repository: 'movie-recommendation-system', branch: 'main', main module: 'Home.py'
[23:49:20] 🐙 Cloning repository...
[23:49:46] 🐙 Cloning into '/app/movie-recommendation-system'...
Filtering content: 66% (2/3)
Filtering content: 66% (2/3), 833.20 MiB | 56.76 MiB/s
Filtering content: 100% (3/3), 833.20 MiB | 56.76 MiB/s
Filtering content: 100% (3/3), 833.20 MiB | 50.30 MiB/s, done.
[23:49:46] 🐙 Cloned repository!
[23:49:46] 🐙 Pulling code changes from Github...
[23:49:55] 📦 Processing dependencies...
──────────────────────────────────────── pip ───────────────────────────────────────────
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Building wheels for collected packages: htmlmin, validators, scikit-surprise
Building wheel for htmlmin (setup.py): started
Building wheel for htmlmin (setup.py): finished with status 'done'
Created wheel for htmlmin: filename=htmlmin-0.1.12-py3-none-any.whl size=27081 sha256=d7b7cd535b1dd0237bbbf89acf63627480a9597be96497011250f3a43af9548d
Stored in directory: /tmp/pip-ephem-wheel-cache-hhgr9lmn/wheels/70/e1/52/5b14d250ba868768823940c3229e9950d201a26d0bd3ee8655
Building wheel for validators (setup.py): started
Building wheel for validators (setup.py): finished with status 'done'
Created wheel for validators: filename=validators-0.20.0-py3-none-any.whl size=19581 sha256=e35fc06a20c4e04ee397bfa4618957d0619a515cb0cdefae4af1107bd0dd1414
Stored in directory: /tmp/pip-ephem-wheel-cache-hhgr9lmn/wheels/5f/55/ab/36a76989f7f88d9ca7b1f68da6d94252bb6a8d6ad4f18e04e9
Building wheel for scikit-surprise (setup.py): started
Building wheel for scikit-surprise (setup.py): finished with status 'done'
Created wheel for scikit-surprise: filename=scikit_surprise-1.1.1-cp37-cp37m-linux_x86_64.whl size=1962774 sha256=2bf5f895bcae679433f4643afb151fac46e997a5aec48c109893f8ee406ad737
Stored in directory: /tmp/pip-ephem-wheel-cache-hhgr9lmn/wheels/76/44/74/b498c42be47b2406bd27994e16c5188e337c657025ab400c1c
Successfully built htmlmin validators scikit-surprise
Installing collected packages: texttable, pytz, htmlmin, charset-normalizer, zipp, watchdog, urllib3, tzdata, typing-extensions, typeguard, tqdm, tornado, toolz, toml, threadpoolctl, tenacity, tangled-up-in-unicode, smmap, six, semver, PyYAML, pyrsistent, pyparsing, pympler, pygments, protobuf, pkgutil-resolve-name, pillow, packaging, numpy, networkx, multimethod, mdurl, MarkupSafe, joblib, igraph, idna, fonttools, entrypoints, decorator, cycler, certifi, cachetools, blinker, backports.zoneinfo, attrs, validators, scipy, requests, PyWavelets, pytz-deprecation-shim, python-dateutil, pydantic, pyarrow, plotly, patsy, markdown-it-py, kiwisolver, jinja2, importlib-resources, importlib-metadata, gitdb, tzlocal, tmdbv3api, scikit-surprise, scikit-learn, rich, pydeck, pandas, matplotlib, jsonschema, imagehash, gitpython, click, visions, surprise, statsmodels, seaborn, phik, altair, streamlit, ydata_profiling, pandas-profiling, streamlit_pandas_profiling
Successfully installed MarkupSafe-2.1.2 PyWavelets-1.3.0 PyYAML-6.0 altair-4.2.2 attrs-22.2.0 backports.zoneinfo-0.2.1 blinker-1.5 cachetools-5.3.0 certifi-2022.12.7 charset-normalizer-3.0.1 click-8.1.3 cycler-0.11.0 decorator-5.1.1 entrypoints-0.4 fonttools-4.38.0 gitdb-4.0.10 gitpython-3.1.31 htmlmin-0.1.12 idna-3.4 igraph-0.10.4 imagehash-4.3.1 importlib-metadata-6.0.0 importlib-resources-5.10.2 jinja2-3.1.2 joblib-1.2.0 jsonschema-4.17.3 kiwisolver-1.4.4 markdown-it-py-2.1.0 matplotlib-3.5.3 mdurl-0.1.2 multimethod-1.9.1 networkx-2.6.3 numpy-1.21.6 packaging-23.0 pandas-1.3.5 pandas-profiling-3.6.6 patsy-0.5.3 phik-0.12.3 pillow-9.4.0 pkgutil-resolve-name-1.3.10 plotly-5.13.0 protobuf-3.20.3 pyarrow-11.0.0 pydantic-1.10.5 pydeck-0.8.0 pygments-2.14.0 pympler-1.0.1 pyparsing-3.0.9 pyrsistent-0.19.3 python-dateutil-2.8.2 pytz-2022.7.1 pytz-deprecation-shim-0.1.0.post0 requests-2.28.2 rich-13.3.1 scikit-learn-1.0.2 scikit-surprise-1.1.1 scipy-1.7.3 seaborn-0.12.2 semver-2.13.0 six-1.16.0 smmap-5.0.0 statsmodels-0.13.5 streamlit-1.18.1 streamlit_pandas_profiling-0.1.3 surprise-0.1 tangled-up-in-unicode-0.2.0 tenacity-8.2.1 texttable-1.6.7 threadpoolctl-3.1.0 tmdbv3api-1.7.7 toml-0.10.2 toolz-0.12.0 tornado-6.2 tqdm-4.64.1 typeguard-2.13.3 typing-extensions-4.5.0 tzdata-2022.7 tzlocal-4.2 urllib3-1.26.14 validators-0.20.0 visions-0.7.5 watchdog-2.2.1 ydata_profiling-4.0.0 zipp-3.13.0
WARNING: You are using pip version 22.0.3; however, version 23.0 is available.
You should consider upgrading via the '/home/appuser/venv/bin/python -m pip install --upgrade pip' command.
Checking if Streamlit is installed
2023-02-16 23:51:04.724 INFO matplotlib.font_manager: generated new fontManager
Found Streamlit version 1.18.1 in the environment
Streamlit 1.18.1 is present. Installing protobuf 3.20.1
Collecting protobuf==3.20.1
Downloading protobuf-3.20.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl (1.0 MB)
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Installing collected packages: protobuf
Attempting uninstall: protobuf
Found existing installation: protobuf 3.20.3
Uninstalling protobuf-3.20.3:
Successfully uninstalled protobuf-3.20.3
Successfully installed protobuf-3.20.1
WARNING: You are using pip version 22.0.3; however, version 23.0 is available.
You should consider upgrading via the '/home/appuser/venv/bin/python -m pip install --upgrade pip' command.
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[23:51:07] 🐍 Python dependencies were installed from /app/movie-recommendation-system/requirements.txt using pip.
Check if streamlit is installed
Streamlit is already installed
[23:51:09] 📦 Processed dependencies!
Collecting usage statistics. To deactivate, set browser.gatherUsageStats to False.
Your ratings.csv is 647MB according to GitHub. And there’s maybe 30MB more in various files in the data folder to say nothing of any other files. There is a 1GB resource limit for Streamlit Cloud as it is a free service. My guess is that you are hitting that limit…
Yeah, that’s probably the case. Thanks for the help!
Hi @mathcatsand, is there a way to monitor it ?
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